Anastasios M. Lekkas

About Anastasios M. Lekkas

Anastasios M. Lekkas, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Guidance Navigation and Control, robotics, machine learning, path planning, autonomous ships.

His recent articles reflect a diverse array of research interests and contributions to the field:

Temporal mission planning for autonomous ships: Design and integration with guidance, navigation and control

Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space

Automated planning for inspection and maintenance operations using unmanned ground vehicles

Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications

Automated Docking for Marine Surface Vessels—A Survey

Reinforcement learning-based NMPC for tracking control of ASVs: Theory and experiments

Autonomous subsea intervention (SEAVENTION)

Anastasios M. Lekkas Information

University

Position

Associate Professor of Autonomous Systems at

Citations(all)

2123

Citations(since 2020)

1679

Cited By

932

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

38

i10Index(since 2020)

37

Email

University Profile Page

Norges teknisk-naturvitenskaplige universitet

Google Scholar

View Google Scholar Profile

Anastasios M. Lekkas Skills & Research Interests

Guidance Navigation and Control

robotics

machine learning

path planning

autonomous ships

Top articles of Anastasios M. Lekkas

Title

Journal

Author(s)

Publication Date

Temporal mission planning for autonomous ships: Design and integration with guidance, navigation and control

Ocean Engineering

Miguel A Hinostroza

AM Lekkas

2024/4/1

Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space

arXiv preprint arXiv:2402.12939

Sindre Benjamin Remman

Anastasios M Lekkas

2024/2/20

Automated planning for inspection and maintenance operations using unmanned ground vehicles

IFAC-PapersOnLine

MA Hinostroza

Anastasios M Lekkas

Aksel A Transeth

Bjørnar Luteberget

Christian de Jonge

...

2023/1/1

Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs

IFAC-PapersOnLine

Vilde B Gjærum

Inga Strümke

Anastasios M Lekkas

Timothy Miller

2023/1/1

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications

Neurocomputing

Vilde B Gjærum

Inga Strümke

Jakob Løver

Timothy Miller

Anastasios M Lekkas

2023/1/1

Automated Docking for Marine Surface Vessels—A Survey

IEEE Access

Simon JN Simonlexau

Morten Breivik

Anastasios M Lekkas

2023/11/21

Reinforcement learning-based NMPC for tracking control of ASVs: Theory and experiments

Control Engineering Practice

Andreas B Martinsen

Anastasios M Lekkas

Sébastien Gros

2022/3/1

Autonomous subsea intervention (SEAVENTION)

IFAC-PapersOnLine

Aksel A Transeth

Ingrid Schjølberg

Anastasios M Lekkas

Petter Risholm

Ahmed Mohammed

...

2022/1/1

Identification of failure modes in the collision avoidance system of an autonomous ferry using adaptive stress testing

IFAC-PapersOnLine

Hanna W Hjelmeland

Bjørn-Olav H Eriksen

Ole J Mengshoel

Anastasios M Lekkas

2022/1/1

milliAmpere: An autonomous ferry prototype

Journal of Physics: Conference Series

Edmund F Brekke

Egil Eide

Bjørn-Olav H Eriksen

Erik F Wilthil

Morten Breivik

...

2022/7/1

A rudimentary mission planning system for marine autonomous surface ships

IFAC-PapersOnLine

MA Hinostroza

Anastasios M Lekkas

2022/1/1

Causal versus marginal Shapley values for robotic lever manipulation controlled using deep reinforcement learning

Sindre Benjamin Remman

Inga Strümke

Anastasios M Lekkas

2022/6/8

Static and dynamic multi-obstacle avoidance and docking of ASVs using computational geometry and numerical optimal control

IFAC-PapersOnLine

Petter K Ødven

Andreas B Martinsen

Anastasios M Lekkas

2022/1/1

MPC-based reinforcement learning for a simplified freight mission of autonomous surface vehicles

Wenqi Cai

Arash B Kordabad

Hossein N Esfahani

Anastasios M Lekkas

Sébastien Gros

2021/12/14

Robotic lever manipulation using hindsight experience replay and shapley additive explanations

Sindre Benjamin Remman

Anastasios M Lekkas

2021/6/29

Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization

Journal of Marine Science and Engineering

Vilde B Gjærum

Inga Strümke

Ole Andreas Alsos

Anastasios M Lekkas

2021/10/26

Reinforcement learning based on scenario-tree MPC for ASVs

Arash Bahari Kordabad

Hossein Nejatbakhsh Esfahani

Anastasios M Lekkas

Sébastien Gros

2021/5/25

Two space-time obstacle representations based on ellipsoids and polytopes

IEEE Access

Andreas B Martinsen

Anastasios M Lekkas

2021/8/9

Explainable AI methods on a deep reinforcement learning agent for automatic docking

IFAC-PapersOnLine

Jakob Løver

Vilde B Gjærum

Anastasios M Lekkas

2021/1/1

Optimal model-based trajectory planning with static polygonal constraints

IEEE Transactions on Control Systems Technology

Andreas B Martinsen

Anastasios M Lekkas

Sébastien Gros

2021/7/30

See List of Professors in Anastasios M. Lekkas University(Norges teknisk-naturvitenskaplige universitet)

Co-Authors

H-index: 86
Thor I. Fossen

Thor I. Fossen

Norges teknisk-naturvitenskaplige universitet

H-index: 77
Tor Arne Johansen

Tor Arne Johansen

Norges teknisk-naturvitenskaplige universitet

H-index: 48
Asgeir J. Sørensen

Asgeir J. Sørensen

Norges teknisk-naturvitenskaplige universitet

H-index: 33
Sebastien Gros

Sebastien Gros

Norges teknisk-naturvitenskaplige universitet

H-index: 23
Ingrid Schjølberg

Ingrid Schjølberg

Norges teknisk-naturvitenskaplige universitet

H-index: 22
Edmund Brekke

Edmund Brekke

Norges teknisk-naturvitenskaplige universitet

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